Düchting W, Vogelsaenger T
J Cancer Res Clin Oncol. 1983;105(1):1-12. doi: 10.1007/BF00391824.
The proliferation of malignant cells and tumor growth can be studied at various levels and from different viewpoints in the field of tumor biology and oncology. The aim of this paper is to outline how control theory and computer science can pave the way to new approaches to interpreting tumor growth and treatment. The present development is based on the hypothesis that the proliferation of malignant cells may be simulated by an unstable closed-loop control circuit. This type of model only describes the number of cells as a function of time. Therefore, an extended model permitting the study of the spatial structure of tumor growth is chosen. This approach leads to three-dimensional models simulating tumor growth in a vascularized tissue segment and opens the possibility of determining optimized chemotherapeutic tumor-treatment schedules. In the future it may become possible to perform computer simulations of different kinds of tumor treatment prior to clinical therapy.
在肿瘤生物学和肿瘤学领域，可以从不同层面和视角研究恶性细胞的增殖及肿瘤生长。本文旨在概述控制理论和计算机科学如何为解读肿瘤生长及治疗的新方法铺平道路。当前的进展基于这样一个假设，即恶性细胞的增殖可用一个不稳定的闭环控制回路来模拟。这类模型仅将细胞数量描述为时间的函数。因此，我们选择了一个可用于研究肿瘤生长空间结构的扩展模型。这种方法产生了三维模型，可模拟血管化组织段中的肿瘤生长，并为确定优化的肿瘤化疗治疗方案提供了可能。未来，或许有可能在临床治疗之前对不同类型的肿瘤治疗进行计算机模拟。
